Presenter: Dena MarkudovaThursday, June 10th, 2021 17:30Location: Microsoft Teams – click here to join Dena Markudova: Machine learning in network management for improving QoE of RTC applications. With the spread of broadband Internet, Real-Time Communication (RTC) platforms have become increasingly popular and have transformed the way people communicate. Thus, it […]
VITTORIO MAZZIA
Presenter: Francesco SalvettiThursday, May 27th, 2021 17:30Location: Microsoft Teams – click here to join Francesco Salvetti: Perception and Reasoning: Path Planning Generation with Deep Learning. Path planning is a fundamental task to achieve robotic autonomous navigation. Given a map of an environment, usually made of an occupancy grid that simply […]
Presenter: Olivia CaramelloThursday, May 27th, 2021 18:00Location: Microsoft Teams – click here to join Get ticket on Eventbrite ABSTRACT I will introduce the theory of toposes as unifying ‘bridges’, give a survey of the main results obtained so far and discuss some work in progress and future research directions on […]
Presenter: Moreno PintoreThursday, May 13th, 2021 17:30Location: Microsoft Teams – click here to join Moreno Pintore: Variational Physics Informed Neural Networks: theory and applications. Most of the physical phenomena that are related to engineering applications are governed by partial differential equations (PDEs). Since such equations are often too complex to […]
Presenter: Jacopo FiorThursday, April 29th, 2021 17:30Location: Microsoft Teams – click here to join Jacopo Fior: Diversified stock portfolio planning based on time series clustering Planning buy-and-hold strategies for stock trading is a challenging financial task. It entails building a portfolio of stocks maximizing the expected return in the medium- […]
Presenter: Fabio MazzaThursday, April 15th, 2021 17:30Location: Microsoft Teams – click here to join Fabio Mazza: Reconstructing epidemic cascades with autoregressive neural networks In the case of inference of epidemic spreading of a disease, we usually have missing or partial information on an epidemic cascade. In order to understand, characterize […]
Presenter: Flavio GiobergiaThursday, March 18th, 2021 17:30Location: Microsoft Teams – click here to join Flavio Giobergia: Cross-lingual propagation of sentiment Information using aligned word vectors Deep learning methods have shown to be particularly effective in inferring the sentiment polarity of a snippet of text. However, such techniques typically require large […]
Presenter: Lorenzo PeriniMonday, March 1st, 2021 17:30Location: Microsoft Teams – click here to join Lorenzo Perini: Quantifying the confidence of anomaly detectors in their example-wise predictions Anomaly detection focuses on identifying examples in the data that somehow deviate from what is expected or typical. Algorithms for this task usually assign […]
Presenter: Pinky KumawatMonday, February 15th, 2021 17:30Location: Microsoft Teams – click here to join Pinky Kumawat: Use of digitisation for “smart” travel data collection Travel surveys and other traditional methods have been used for collecting mobility data since 1930s. Those surveys have been so far the most reliable approaches to […]
Presenter: Vittorio MazziaMonday, February 1st, 2021 17:30Location: Microsoft Teams – click here to join Vittorio Mazzia: Capsule Based Networks, Next Evolution of Convolutional Neural Networks? Deep convolutional neural networks (CNNs), assisted by architectural design strategies, make large use of data augmentation techniques and layers with a high number of feature […]
Presenter: Marco GuerraMonday, January 18th, 2021 17:30Location: Microsoft Teams – click here to join Marco Guerra: Simplicial Spectral Theory Simplicial complexes are often understood as a higher-dimensional generalization of graphs. The rich topological theory of which they form the foundation has recently tempted researchers to revisit many apparently disconnected concepts […]
Presenter: Nicola PretteMonday, December 14th, 2020 17:30Location: Microsoft Teams – click here to join Nicola Prette: Deep Inter Prediction Enhancement for Video Compression In this work a Neural Network is employed for improving the performances of the HEVC Video Compression standard. This is achieved by using the network for improving […]